rm base64 images from docs (#10110)

Causing problems indexing docs and notebook images don't render after markdown conversion anyways

docs/extras/integrations/callbacks/infino.ipynb

@@ -210,61 +210,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "id": "f078c612-89e0-4a1d-b1a8-bf36b664a10e",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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truncated
-      "text/plain": [
-       "<Figure size 600x400 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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 truncated
-      "text/plain": [
-       "<Figure size 600x400 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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truncated
-      "text/plain": [
-       "<Figure size 600x400 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
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truncated
-      "text/plain": [
-       "<Figure size 600x400 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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truncated
-      "text/plain": [
-       "<Figure size 600x400 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Helper function to create a graph using matplotlib.\n",
     "def plot(data, title):\n",
@@ -397,7 +346,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.11.3"
   }
  },
  "nbformat": 4,

docs/extras/integrations/document_loaders/geopandas.ipynb

@@ -100,21 +100,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": null,
    "id": "8148a63e",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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truncated
-      "text/plain": [
-       "<Figure size 1000x1000 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import matplotlib.pyplot as plt\n",
     "\n",
@@ -191,7 +180,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.16"
+   "version": "3.11.3"
   }
  },
  "nbformat": 4,

docs/extras/integrations/document_loaders/image_captions.ipynb

@@ -25,7 +25,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "ac0a2a76-c36a-4952-b511-7906ca840e08",
    "metadata": {
     "pycharm": {
@@ -48,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "9a400568-5fea-47e6-8703-d9c1a1cc00ea",
    "metadata": {
     "tags": []
@@ -76,37 +76,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "id": "fb392517-72d8-416e-852c-da90b77267ed",
    "metadata": {
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/saitosean/dev/langchain/.venv/lib/python3.10/site-packages/transformers/generation/utils.py:1313: UserWarning: Using `max_length`'s default (20) to control the generation length. This behaviour is deprecated and will be removed from the config in v5 of Transformers -- we recommend using `max_new_tokens` to control the maximum length of the generation.\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "[Document(page_content='an image of a frog on a flower [SEP]', metadata={'image_path': 'https://upload.wikimedia.org/wikipedia/commons/thumb/5/5a/Hyla_japonica_sep01.jpg/260px-Hyla_japonica_sep01.jpg'}),\n",
-       " Document(page_content='an image of a shark swimming in the ocean [SEP]', metadata={'image_path': 'https://upload.wikimedia.org/wikipedia/commons/thumb/7/71/Tibur%C3%B3n_azul_%28Prionace_glauca%29%2C_canal_Fayal-Pico%2C_islas_Azores%2C_Portugal%2C_2020-07-27%2C_DD_14.jpg/270px-Tibur%C3%B3n_azul_%28Prionace_glauca%29%2C_canal_Fayal-Pico%2C_islas_Azores%2C_Portugal%2C_2020-07-27%2C_DD_14.jpg'}),\n",
-       " Document(page_content='an image of a painting of a battle scene [SEP]', metadata={'image_path': 'https://upload.wikimedia.org/wikipedia/commons/thumb/2/21/Thure_de_Thulstrup_-_Battle_of_Shiloh.jpg/251px-Thure_de_Thulstrup_-_Battle_of_Shiloh.jpg'}),\n",
-       " Document(page_content='an image of a passion fruit and a half cut passion [SEP]', metadata={'image_path': 'https://upload.wikimedia.org/wikipedia/commons/thumb/2/21/Passion_fruits_-_whole_and_halved.jpg/270px-Passion_fruits_-_whole_and_halved.jpg'}),\n",
-       " Document(page_content='an image of the spiral galaxy [SEP]', metadata={'image_path': 'https://upload.wikimedia.org/wikipedia/commons/thumb/5/5e/Messier83_-_Heic1403a.jpg/277px-Messier83_-_Heic1403a.jpg'}),\n",
-       " Document(page_content='an image of a man on skis in the snow [SEP]', metadata={'image_path': 'https://upload.wikimedia.org/wikipedia/commons/thumb/b/b6/2022-01-22_Men%27s_World_Cup_at_2021-22_St._Moritz%E2%80%93Celerina_Luge_World_Cup_and_European_Championships_by_Sandro_Halank%E2%80%93257.jpg/288px-2022-01-22_Men%27s_World_Cup_at_2021-22_St._Moritz%E2%80%93Celerina_Luge_World_Cup_and_European_Championships_by_Sandro_Halank%E2%80%93257.jpg'}),\n",
-       " Document(page_content='an image of a flower in the dark [SEP]', metadata={'image_path': 'https://upload.wikimedia.org/wikipedia/commons/thumb/9/99/Wiesen_Pippau_%28Crepis_biennis%29-20220624-RM-123950.jpg/224px-Wiesen_Pippau_%28Crepis_biennis%29-20220624-RM-123950.jpg'})]"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "loader = ImageCaptionLoader(path_images=list_image_urls)\n",
     "list_docs = loader.load()\n",
@@ -115,24 +90,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "id": "0f56db67-99bb-4543-ba40-1871a58b2da5",
    "metadata": {
     "tags": []
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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 truncated
-      "text/plain": [
-       "<PIL.Image.Image image mode=RGB size=260x180>"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from PIL import Image\n",
     "import requests\n",
@@ -150,24 +113,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "7b7a15ac-d2c7-4359-9c5c-a543c8eebf80",
    "metadata": {
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/saitosean/dev/langchain/.venv/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
-      "  from .autonotebook import tqdm as notebook_tqdm\n",
-      "/Users/saitosean/dev/langchain/.venv/lib/python3.10/site-packages/transformers/generation/utils.py:1313: UserWarning: Using `max_length`'s default (20) to control the generation length. This behaviour is deprecated and will be removed from the config in v5 of Transformers -- we recommend using `max_new_tokens` to control the maximum length of the generation.\n",
-      "  warnings.warn(\n",
-      "Using embedded DuckDB without persistence: data will be transient\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from langchain.indexes import VectorstoreIndexCreator\n",
     "\n",
@@ -184,23 +135,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "id": "e03e31c6-3018-434d-bcad-5c25144509e1",
    "metadata": {
     "tags": []
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "' The painting is about a battle scene.'"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "query = \"What's the painting about?\"\n",
     "index.query(query)"
@@ -208,23 +148,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "id": "c3ec2b5a-9c03-4e32-b571-be5af9a22223",
    "metadata": {
     "tags": []
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "' There are images of a spiral galaxy, a painting of a battle scene, a flower in the dark, and a frog on a flower.'"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "query = \"What kind of images are there?\"\n",
     "index.query(query)"
@@ -247,7 +176,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.11.3"
   }
  },
  "nbformat": 4,

docs/extras/integrations/llms/edenai.ipynb

@@ -56,7 +56,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -65,7 +65,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -99,20 +99,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "\" No, a dog cannot drive a car.\\n\\nReasoning: \\n1. Driving a car requires a driver's license, which is only issued to humans. \\n2. Dogs do not have the physical capability to operate a car, as they do not have hands to steer or feet to operate the pedals. \\n3. Dogs also do not have the mental capacity to understand the rules of the road and operate a car safely. \\n4. Therefore, a dog cannot drive a car.\""
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from langchain import PromptTemplate, LLMChain\n",
     "llm=EdenAI(feature=\"text\",provider=\"openai\",model=\"text-davinci-003\",temperature=0.2, max_tokens=250)\n",
@@ -134,7 +123,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -158,7 +147,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -171,7 +160,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -180,7 +169,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -196,24 +185,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      " No, a dog cannot drive a car.\n",
-      "\n",
-      "Reasoning:\n",
-      "\n",
-      "1. Driving a car requires a driver's license, which only humans can obtain. \n",
-      "2. Driving a car requires the ability to understand and follow traffic laws, which only humans can do. \n",
-      "3. Driving a car requires the ability to operate the car's controls, which only humans can do. \n",
-      "4. Therefore, a dog cannot drive a car.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from langchain.llms import EdenAI\n",
     "from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler\n",
@@ -238,7 +212,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -249,7 +223,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -263,7 +237,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -277,7 +251,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -290,7 +264,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -303,26 +277,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "\n",
-      "\u001b[1m> Entering new SimpleSequentialChain chain...\u001b[0m\n",
-      "\u001b[36;1m\u001b[1;3m\n",
-      "\n",
-      "Headwear Haven\u001b[0m\n",
-      "\u001b[33;1m\u001b[1;3m. It should be a simple and modern design that conveys the idea of a safe and comfortable place to purchase headwear. The logo should feature a stylized image of a hat, with a warm and inviting color palette. The design should be eye-catching and memorable, and should evoke a sense of trust and reliability.\u001b[0m\n",
-      "\u001b[38;5;200m\u001b[1;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 truncated
-      "\n",
-      "\u001b[1m> Finished chain.\u001b[0m\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Run the chain specifying only the input variable for the first chain.\n",
     "overall_chain = SimpleSequentialChain(\n",
@@ -333,7 +290,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -358,7 +315,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.11.3"
   }
  },
  "nbformat": 4,

docs/extras/integrations/llms/replicate.ipynb

@@ -268,22 +268,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/jpeg": 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truncated
-      "image/png": "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 truncated
-      "text/plain": [
-       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=512x512>"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from PIL import Image\n",
     "import requests\n",
@@ -543,22 +530,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/jpeg": "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 truncated
-      "image/png": "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 truncated
-      "text/plain": [
-       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=768x768>"
-      ]
-     },
-     "execution_count": 36,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "response = requests.get(\n",
     "    \"https://replicate.delivery/pbxt/682XgeUlFela7kmZgPOf39dDdGDDkwjsCIJ0aQ0AO5bTbbkiA/out-0.png\"\n",
@@ -584,7 +558,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.16"
+   "version": "3.11.3"
   },
   "vscode": {
    "interpreter": {

docs/extras/integrations/providers/wandb_tracing.ipynb

@@ -147,18 +147,6 @@
     "\n",
     "agent.run(\"What is 2 raised to .123243 power?\")  # this should not be traced"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "438fd64d",
-   "metadata": {},
-   "source": [
-    "**Here's a view of wandb dashboard for the above tracing session:**\n",
-    "\n",
-    "\n",
-    "![](data:image/png;base64,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 truncated
-    "\n"
-   ]
   }
  ],
  "metadata": {
@@ -177,7 +165,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.11.3"
   }
  },
  "nbformat": 4,

docs/extras/integrations/tools/gradio_tools.ipynb

@@ -97,21 +97,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "id": "98e1e602",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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truncated
-      "text/plain": [
-       "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=768x768>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
    "source": [
     "display(im)"
    ]
@@ -242,7 +233,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.11.3"
   }
  },
  "nbformat": 4,

docs/extras/use_cases/more/agents/agents/multi_modal_output_agent.ipynb

@@ -1,298 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "cd835d40",
-   "metadata": {},
-   "source": [
-    "# Multi-modal outputs: Image & Text"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "fa88e03a",
-   "metadata": {},
-   "source": [
-    "This notebook shows how non-text producing tools can be used to create multi-modal agents.\n",
-    "\n",
-    "This example is limited to text and image outputs and uses UUIDs to transfer content across tools and agents. \n",
-    "\n",
-    "This example uses Steamship to generate and store generated images. Generated are auth protected by default. \n",
-    "\n",
-    "You can get your Steamship api key here: https://steamship.com/account/api"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "0653da01",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from steamship import Block, Steamship\n",
-    "import re\n",
-    "from IPython.display import Image"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "f6933033",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from langchain import OpenAI\n",
-    "from langchain.agents import initialize_agent\n",
-    "from langchain.agents import AgentType\n",
-    "from langchain.tools import SteamshipImageGenerationTool"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "71e51e53",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "llm = OpenAI(temperature=0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a9fc769d",
-   "metadata": {},
-   "source": [
-    "## Dall-E "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "cd177dfe",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "tools = [SteamshipImageGenerationTool(model_name=\"dall-e\")]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "c71b1e46",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "mrkl = initialize_agent(\n",
-    "    tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "603aeb9a",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "\n",
-      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
-      "\u001b[32;1m\u001b[1;3m I need to generate an image of a parrot playing soccer.\n",
-      "Action: GenerateImage\n",
-      "Action Input: A parrot wearing a soccer uniform, kicking a soccer ball.\u001b[0m\n",
-      "Observation: \u001b[36;1m\u001b[1;3mE28BE7C7-D105-41E0-8A5B-2CE21424DFEC\u001b[0m\n",
-      "Thought:\u001b[32;1m\u001b[1;3m I now have the UUID of the generated image.\n",
-      "Final Answer: The UUID of the generated image is E28BE7C7-D105-41E0-8A5B-2CE21424DFEC.\u001b[0m\n",
-      "\n",
-      "\u001b[1m> Finished chain.\u001b[0m\n"
-     ]
-    }
-   ],
-   "source": [
-    "output = mrkl.run(\"How would you visualize a parot playing soccer?\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "25eb4efe",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def show_output(output):\n",
-    "    \"\"\"Display the multi-modal output from the agent.\"\"\"\n",
-    "    UUID_PATTERN = re.compile(\n",
-    "        r\"([0-9A-Za-z]{8}-[0-9A-Za-z]{4}-[0-9A-Za-z]{4}-[0-9A-Za-z]{4}-[0-9A-Za-z]{12})\"\n",
-    "    )\n",
-    "\n",
-    "    outputs = UUID_PATTERN.split(output)\n",
-    "    outputs = [\n",
-    "        re.sub(r\"^\\W+\", \"\", el) for el in outputs\n",
-    "    ]  # Clean trailing and leading non-word characters\n",
-    "\n",
-    "    for output in outputs:\n",
-    "        maybe_block_id = UUID_PATTERN.search(output)\n",
-    "        if maybe_block_id:\n",
-    "            display(Image(Block.get(Steamship(), _id=maybe_block_id.group()).raw()))\n",
-    "        else:\n",
-    "            print(output, end=\"\\n\\n\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "082792a0",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The UUID of the generated image is \n",
-      "\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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truncated
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "show_output(output)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e247b2c4",
-   "metadata": {},
-   "source": [
-    "## StableDiffusion "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "315025e7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "tools = [SteamshipImageGenerationTool(model_name=\"stable-diffusion\")]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "7930064a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "mrkl = initialize_agent(\n",
-    "    tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "611a833d",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "\n",
-      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
-      "\u001b[32;1m\u001b[1;3m I need to generate an image of a parrot playing soccer.\n",
-      "Action: GenerateImage\n",
-      "Action Input: A parrot wearing a soccer uniform, kicking a soccer ball.\u001b[0m\n",
-      "Observation: \u001b[36;1m\u001b[1;3m25BB588F-85E4-4915-82BE-67ADCF974881\u001b[0m\n",
-      "Thought:\u001b[32;1m\u001b[1;3m I now have the UUID of the generated image.\n",
-      "Final Answer: The UUID of the generated image is 25BB588F-85E4-4915-82BE-67ADCF974881.\u001b[0m\n",
-      "\n",
-      "\u001b[1m> Finished chain.\u001b[0m\n"
-     ]
-    }
-   ],
-   "source": [
-    "output = mrkl.run(\"How would you visualize a parot playing soccer?\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "d7a3edaf",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The UUID of the generated image is \n",
-      "\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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truncated
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "show_output(output)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "55556043",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.16"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}

docs/extras/use_cases/more/agents/multi_modal/image_agent.ipynb

@@ -1,253 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "cd835d40",
-   "metadata": {},
-   "source": [
-    "# Multi-modal outputs: Image & Text"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "fa88e03a",
-   "metadata": {},
-   "source": [
-    "This notebook shows how non-text producing tools can be used to create multi-modal agents.\n",
-    "\n",
-    "This example is limited to text and image outputs and uses UUIDs to transfer content across tools and agents. \n",
-    "\n",
-    "This example uses Steamship to generate and store generated images. Generated are auth protected by default. \n",
-    "\n",
-    "You can get your Steamship api key here: https://steamship.com/account/api"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "0653da01",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from steamship import Block, Steamship\n",
-    "import re\n",
-    "from IPython.display import Image"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "f6933033",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from langchain import OpenAI\n",
-    "from langchain.agents import initialize_agent\n",
-    "from langchain.agents import AgentType\n",
-    "from langchain.tools import SteamshipImageGenerationTool"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "71e51e53",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "llm = OpenAI(temperature=0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a9fc769d",
-   "metadata": {},
-   "source": [
-    "## Dall-E "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "cd177dfe",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "tools = [SteamshipImageGenerationTool(model_name=\"dall-e\")]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "c71b1e46",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "mrkl = initialize_agent(\n",
-    "    tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "603aeb9a",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "\n",
-      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
-      "\u001b[32;1m\u001b[1;3m I need to generate an image of a parrot playing soccer.\n",
-      "Action: GenerateImage\n",
-      "Action Input: A parrot wearing a soccer uniform, kicking a soccer ball.\u001b[0m\n",
-      "Observation: \u001b[36;1m\u001b[1;3mE28BE7C7-D105-41E0-8A5B-2CE21424DFEC\u001b[0m\n",
-      "Thought:\u001b[32;1m\u001b[1;3m I now have the UUID of the generated image.\n",
-      "Final Answer: The UUID of the generated image is E28BE7C7-D105-41E0-8A5B-2CE21424DFEC.\u001b[0m\n",
-      "\n",
-      "\u001b[1m> Finished chain.\u001b[0m\n"
-     ]
-    }
-   ],
-   "source": [
-    "output = mrkl.run(\"How would you visualize a parot playing soccer?\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "25eb4efe",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def show_output(output):\n",
-    "    \"\"\"Display the multi-modal output from the agent.\"\"\"\n",
-    "    UUID_PATTERN = re.compile(\n",
-    "        r\"([0-9A-Za-z]{8}-[0-9A-Za-z]{4}-[0-9A-Za-z]{4}-[0-9A-Za-z]{4}-[0-9A-Za-z]{12})\"\n",
-    "    )\n",
-    "\n",
-    "    outputs = UUID_PATTERN.split(output)\n",
-    "    outputs = [\n",
-    "        re.sub(r\"^\\W+\", \"\", el) for el in outputs\n",
-    "    ]  # Clean trailing and leading non-word characters\n",
-    "\n",
-    "    for output in outputs:\n",
-    "        maybe_block_id = UUID_PATTERN.search(output)\n",
-    "        if maybe_block_id:\n",
-    "            display(Image(Block.get(Steamship(), _id=maybe_block_id.group()).raw()))\n",
-    "        else:\n",
-    "            print(output, end=\"\\n\\n\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "082792a0",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The UUID of the generated image is \n",
-      "\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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truncated
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "show_output(output)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e247b2c4",
-   "metadata": {},
-   "source": [
-    "## StableDiffusion "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "315025e7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "tools = [SteamshipImageGenerationTool(model_name=\"stable-diffusion\")]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "7930064a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "mrkl = initialize_agent(\n",
-    "    tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "611a833d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "output = mrkl.run(\"How would you visualize a parot playing soccer?\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "d7a3edaf",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "show_output(output)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ffdf9c53",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.16"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}

docs/extras/use_cases/more/agents/multi_modal/multi_modal_output_agent.ipynb

@@ -24,7 +24,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "0653da01",
    "metadata": {},
    "outputs": [],
@@ -36,7 +36,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "id": "f6933033",
    "metadata": {},
    "outputs": [],
@@ -49,7 +49,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "71e51e53",
    "metadata": {},
    "outputs": [],
@@ -67,7 +67,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "id": "cd177dfe",
    "metadata": {},
    "outputs": [],
@@ -77,7 +77,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "id": "c71b1e46",
    "metadata": {},
    "outputs": [],
@@ -89,35 +89,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "id": "603aeb9a",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "\n",
-      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
-      "\u001b[32;1m\u001b[1;3m I need to generate an image of a parrot playing soccer.\n",
-      "Action: GenerateImage\n",
-      "Action Input: A parrot wearing a soccer uniform, kicking a soccer ball.\u001b[0m\n",
-      "Observation: \u001b[36;1m\u001b[1;3mE28BE7C7-D105-41E0-8A5B-2CE21424DFEC\u001b[0m\n",
-      "Thought:\u001b[32;1m\u001b[1;3m I now have the UUID of the generated image.\n",
-      "Final Answer: The UUID of the generated image is E28BE7C7-D105-41E0-8A5B-2CE21424DFEC.\u001b[0m\n",
-      "\n",
-      "\u001b[1m> Finished chain.\u001b[0m\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "output = mrkl.run(\"How would you visualize a parot playing soccer?\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "id": "25eb4efe",
    "metadata": {},
    "outputs": [],
@@ -141,35 +123,6 @@
     "            print(output, end=\"\\n\\n\")"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "082792a0",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The UUID of the generated image is \n",
-      "\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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truncated
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "show_output(output)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "e247b2c4",
@@ -180,7 +133,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "id": "315025e7",
    "metadata": {},
    "outputs": [],
@@ -190,7 +143,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "id": "7930064a",
    "metadata": {},
    "outputs": [],
@@ -202,76 +155,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "id": "611a833d",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "\n",
-      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
-      "\u001b[32;1m\u001b[1;3m I need to generate an image of a parrot playing soccer.\n",
-      "Action: GenerateImage\n",
-      "Action Input: A parrot wearing a soccer uniform, kicking a soccer ball.\u001b[0m\n",
-      "Observation: \u001b[36;1m\u001b[1;3m25BB588F-85E4-4915-82BE-67ADCF974881\u001b[0m\n",
-      "Thought:\u001b[32;1m\u001b[1;3m I now have the UUID of the generated image.\n",
-      "Final Answer: The UUID of the generated image is 25BB588F-85E4-4915-82BE-67ADCF974881.\u001b[0m\n",
-      "\n",
-      "\u001b[1m> Finished chain.\u001b[0m\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "output = mrkl.run(\"How would you visualize a parot playing soccer?\")"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "d7a3edaf",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The UUID of the generated image is \n",
-      "\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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truncated
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "show_output(output)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "55556043",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -290,7 +180,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.2"
+   "version": "3.11.3"
   }
  },
  "nbformat": 4,